In this project, several prototypes have been built and researched. The finished implementation is a software library written in the Flutter framework, which manages the collection of travel data, and the classification of this data via an on-device machine-learning model. Additional prototypes include …

Een project waarin het doel was om een prototype te maken waarin handmatige stappen geautomatiseerd worden. Dit door een combinatie van machine learning en computer vision tools te gebruiken om tot een dynamische oplossing te komen die voor een grote hoeveelheid verschillende bouwplannen werkt.

This graduation report investigates the creation of an artificial intelligence-based tool for producing HTML Bootstrap code from images and codes description text provided by the user. The goal of this project is to automate the conversion of images and code description text into accurate HTML Bootstrap …

Machine learning models have been an inevitable tool for analyzing medical images by radiologists. These models provide important information about the contents of these images using extracted radiomic features. However, the dimensionality of the feature space can cause reduction in the accuracy of prediction, …

The prevention and diagnosis of frailty syndrome (FS) in cardiac patients requires innovative systems to support medical personnel, patient adherence, and self-care behavior. To do so, modern medicine uses a supervised machine learning approach (ML) to study the psychosocial domains of frailty in cardiac …

The recent advancements in machine learning (ML) techniques have significantly improved the performance in various natural language processing (NLP) tasks, particularly in deep learning with the transformer architecture. Despite their promising applications in different domains, these innovations have …

The use of machine learning in embedded systems is an interesting topic, especially with the growth in popularity of the Internet of Things (IoT). The capacity of a system, such as a robot, to self-localize, is a fundamental skill for its navigation and decision-making processes. This work focuses on …

This documentation covers a feasability study on Computer Vision to register Data Matrix Codes using Machine learning. The documentation covers the topics of selecting the components of the system, the type of training data needed to train an Object Detection Model using Machine Learning, and the processes …

Moneybird biedt ondernemers een platform voor het doen van hun boekhouding. Bij het ondernemerschap komt veel kijken, zo ook het controleren van hun boekhouding. Hierbij is het belangrijk dat alle fouten gei¨dentificeerd worden, en vervolgens eruit worden gehaald, om bijvoorbeeld boetes te voorkomen. …

Localization is a crucial skill in mobile robotics because the robot needs to make reasonable navigation decisions to complete its mission. Many approaches exist to implement localization, but artificial intelligence can be an interesting alternative to traditional localization techniques based on model …